Stabilizing and Optimizing Content Delivery Networks
Today, many devices are capable to capture full HD videos and use their network connections to access the Internet. The popularization of these devices and continuous efforts to increase network quality has brought a proper environment for the rise of live streaming. Associated with the large scale of Users Generated Content (UGC), live streaming presents new challenges. Content Delivery Networks (CDN)are considered as the potential solution to deliver this rising content volume. Although CDN solutions are progressively integrated with the network infrastructure, they still show technological limitations in dealing with the increasing amount of bandwidth-hungry and demanding applications. In this thesis, the main target of our contributions is request routing, which is a content delivery mechanism that has a key impact on scale and performance of the CDN, as well as on the perceived Quality of Experience (QoE). First, we present a flexible scheme and an optimization algorithm, based on Lyapunov theory, for request routing in CDNs. Our online approach provides a stable quality of service to clients, while improving content delivery delays. Second, to overcome the limitations of the redirection mechanism used in current request routing solutions, we introduce a new approach to content delivery incorporating Information-Centric Networking (ICN) principles without requiring any change in the underlying network. Last, We also adapt our on-line algorithm, which is based on Lyapunov optimization theory, to dynamically generate effective strategies in order to satisfy operator's objectives.
Defence : 12/09/2016 - 14h - Site Jussieu - Salle Gérard Noguez - 26-00/101 Jury members : M. Vania Conan, Chercheur HDR, THALES [Rapporteur]
Mme Maria Potop-Butucaru, Professeur UPMC Sorbonne Universités
M. Dario Rossi, Professeur TELECOM ParisTech
M. Jérémie Leguay, Chercheur, HUAWEI
M. Sébastien Tixeuil, Professeur UPMC Sorbonne Universités
M. Samir Ghamri-doudane, Chercheur, NOKIA